Context. Open clusters are key targets for studies of Galaxy structure and evolution, and
stellar physics. Since the Gaia data release 2 (DR2), the discovery of undetected clusters …

Context. The improvements in the precision of the published data in Gaia EDR3 with respect
to Gaia DR2, particularly for parallaxes and proper motions, offer the opportunity to increase …

High-level programming languages such as Python are increasingly used to provide
intuitive interfaces to libraries written in lower-level languages and for assembling …

Parallel and multiprocessing algorithms break down significant numerical problems into
smaller subtasks, reducing the total computing time on multiprocessor and multicore …

Exascale computing has been a dream for ages and is close to becoming a reality that will
impact how molecular simulations are being performed, as well as the quantity and quality of …

Abstract The evolution of High-Performance Computing (HPC) platforms enables the design
and execution of progressively larger and more complex workflow applications in these …

Scientific workflows have become integral tools in broad scientific computing use cases.
Science discovery is increasingly dependent on workflows to orchestrate large and complex …

COMPSs is a programming framework that aims to facilitate the parallelization of existing
applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple …

Serverless workflow applications or function choreographies (FCs), which connect
serverless functions by data-and control-flow, have gained considerable momentum recently …

This paper presents Xel, a cloud-agnostic data platform for the design-driven building of
high-availability data science services as a support tool for data-driven decision-making. We …